Сравнение методов

	Робастный тест Филлипса-Перрона (PP) на единичный корень	Расширенный тест Дики-Фуллера (ADF) на единичный корень
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	1988 (base); 2000s–2010s (robust extensions)	1979–1984
Автор метода	Phillips & Perron (1988); robustification by Cavaliere & Taylor (2008) and related authors	Said & Dickey (1984); building on Dickey & Fuller (1979)
Тип	Unit root / stationarity test	Hypothesis test (unit root)
Основополагающий источник	Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.	Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607.
Другие названия	robust Phillips-Perron test, heteroskedasticity-robust PP test, nonparametric robust unit root test, robust PP	ADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test
Связанные	6	5
Сводка	The Robust Phillips-Perron unit root test extends the classical PP test by applying corrections — such as heteroskedasticity-consistent covariance estimation or wild-bootstrap critical values — that maintain valid inference when the error variance of a time series is non-constant or exhibits unconditional heteroskedasticity, conditions under which the standard PP test is severely size-distorted.	The Augmented Dickey-Fuller test is the standard procedure for determining whether a univariate time series contains a unit root — that is, whether the series is non-stationary. It extends the original Dickey-Fuller test by including lagged difference terms that absorb serial correlation in the residuals, making the test valid for a wide range of time-series processes encountered in economics and finance.